Degree in Computer Science, Electrical Engineering, Robotics, or related field, or equivalent experience.
Experience with computer vision systems on resource-constrained or embedded platforms.
Knowledge of classical computer vision techniques like feature detection and camera calibration.
Hands-on experience with camera hardware and understanding of sensor behavior.
Proficiency in C++ and Python, particularly with OpenCV.
Demonstrated ability to take projects from concept to operational hardware in real-world settings.
Responsibilities
Implement and optimize real-time perception algorithms for dynamic object detection.
Integrate and validate new camera modules against real-world requirements.
Develop repeatable testing procedures for camera and algorithm performance.
Enhance camera calibration and sensor synchronization processes.
Optimize embedded inference pipelines for latency and throughput.
Support field test campaigns, collaborating with pilots and integrators.
Manage deliverables, contributing to camera and sensor selection and project updates.
Benefits
Flexible working hours
Stock options
Generous holiday allowance
Company pension plan
Car parking
Enhanced maternity and paternity leave
Mental health and wellbeing support
Learning and development opportunities
Full Job Description
OverviewWe are looking for a Computer Vision Engineer to help build and deploy perception systems that run onboard autonomous aerial platforms. This is not offline research. Our algorithms run in real time on embedded computers, in the air, in conditions we do not control.
You will work across classical computer vision, camera integration and validation, calibration and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security.
If you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you.
Responsibilities and Duties
Implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform.
Integrate new camera modules onto our platforms and validate them against real requirements: image quality, timing, latency and behavior in the conditions we actually fly in.
Build repeatable test and evaluation procedures so that camera and algorithm performance is measured rather than judged by eye, and comparable across units, builds and iterations.
Run and improve camera calibration and sensor synchronization procedures, including multi camera and multi sensor setups.
Profile and optimize pipelines for embedded inference against explicit latency, throughput and compute budgets, and evaluate or retrain detection models on real captured data.
Support field test campaigns. Take algorithms and cameras from bench to flight, work alongside pilots and integrators on site and close the loop on real captured data.
Own your deliverables end to end, contribute input into camera, lens and sensor selection, and keep the team informed on progress and risks.
Qualifications and Skills
Degree in Computer Science, Electrical Engineering, Robotics or a related field, or equivalent practical experience.
Experience building computer vision systems, with exposure to resource constrained or embedded platforms.
Working knowledge of classical computer vision: feature detection and matching, optical flow, camera models and calibration, multiple view geometry.
Practical experience with cameras as hardware, not just as a source of frames. Sensor and lens behavior, exposure, timing and what goes wrong when a new module arrives.
Proficiency in C++ and Python, with real experience in OpenCV.
Evidence of taking a project from problem definition to something that actually ran on hardware, and comfort doing that in the field alongside pilots and real logs.
Nice to have
Camera bring up below the level of a vendor SDK. MIPI CSI-2, USB or GigE, driver or V4L2 level work.
Experience with ISP tuning, auto exposure or auto gain pipelines.
Experience evaluating or retraining detection models on real captured data.
State estimation and sensor fusion, visual inertial odometry or visual SLAM.
Experience with ROS2, embedded inference runtimes, or aerial platforms such as PX4 or MAVLink based systems.
Benefits
Flexible working hours
Stock Options
Generous holiday allowance
Company pension plan
Car parking
Enhanced maternity & paternity leave
Mental health and wellbeing support
Learning and development opportunities
About Auterion
Auterion is a software company that provides an open-source platform for drones. The company's platform enables users to build and operate drones for various applications, including aerial photography, surveying, and inspection. Auterion's platform is designed to be modular and customizable, allowing users to add or remove features as needed. The company also offers consulting services to help customers integrate its platform into their existing workflows.
